Local Influence Diagnostics for the Extreme-Value Birnbaum-Saunders Regression Model


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Documentation for package ‘evbsreg’ version 1.2.0

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cnc_diagnostics Conformal Normal Curvature Local Influence Diagnostics
cnc_diagnostics_gev Conformal normal curvature diagnostics for the GEV regression model
devbs Density of the Extreme-Value Birnbaum-Saunders distribution
dlogEVBS Density of the log-EVBS distribution (GAMLSS parametrization)
envelope_qq Normal Probability Plot with Simulation Envelope
evbsreg.fit Fit the Extreme-Value Birnbaum-Saunders Regression Model
evbsreg.fit.mc Monte Carlo Simulation Study for the EVBS Regression Model
evbs_block_boot Block bootstrap standard errors for the EVBS regression model
evbs_endpoint Finite upper endpoint of the EVBS distribution
evbs_monitor Prospective endpoint-identifiability index
evbs_return_level Return level and expected shortfall for the EVBS regression model
generate_evbs_data Generate EVBS Density Values
generate_logevbs_data Generate log-EVBS Density Values
gevreg.fit Maximum likelihood fit of the GEV regression model
gev_scores Individual score contributions for the GEV regression model
itajai Monthly Maximum Wind Gusts at Itajai, Brazil
logEVBS The log-EVBS distribution for GAMLSS models
pevbs Distribution function of the Extreme-Value Birnbaum-Saunders distribution
plogEVBS Density of the log-EVBS distribution (GAMLSS parametrization)
plot.evbs_monitor Plot an endpoint-identifiability control chart
plot_aggregate_contributions Plot Aggregate Contributions B_j(q)
plot_cnc Combined Conformal Normal Curvature Diagnostic Plot
plot_evbs_alpha Plot EVBS Densities for Varying alpha
plot_evbs_gama Plot EVBS Densities for Varying gamma
plot_logevbs_alpha Plot log-EVBS Densities for Varying alpha
plot_logevbs_gama Plot log-EVBS Densities for Varying gamma
plot_normalized_eigenvalues Plot Normalized Eigenvalues of the Influence Matrix
print.evbsreg Print Method for EVBS Regression Fits
qevbs Quantile function of the Extreme-Value Birnbaum-Saunders distribution
qlogEVBS Density of the log-EVBS distribution (GAMLSS parametrization)
rcoxsnell Cox-Snell Residuals for the Log-EVBS Regression Model
revbs Random Number Generation from the EVBS Distribution
rqrandomized Randomized Quantile Residuals for the Log-EVBS Regression Model